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By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
"Extracting value from data is central to the digital transformation required for businesses to succeed in the decades to come. Buried in data are insights that reveals what your customers need and how they want to receive it, how sales, manufacturing, distribution, and other aspects of business operations are functioning, what risks are arising to threaten the business, and more. That insight empowers your businesses to reach new customers, develop and deliver new products, to operate more efficiently and more effectively, and even to develop new business models. "
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     Hewlett Packard Enterprise
By: HP     Published Date: Dec 05, 2014
This assessment is composed of a core set of comparative questions, and the option to be assessed in any of three key areas: computing economics, service delivery and business performance. After a half-decade of cost cutting and shrinking IT budgets, the compute infrastructure that powers the enterprise now is typically inefficient, slow and not optimized for business outcomes. It is better suited to the economic realities of 2010 rather than the rigors of the application workloads, delivery models & business expectations of today driven by cloud, mobility, security and big data megatrends. As a result, there is a significant gap between what businesses expect from technology and what IT can deliver.
Tags : server, performance, efficiency, application, infrastructure, information technology, mobility, cloud
     HP
By: HPE     Published Date: Feb 11, 2015
This assessment is composed of a core set of comparative questions, and the option to be assessed in any of three key areas: computing economics, service delivery and business performance. After a half-decade of cost cutting and shrinking IT budgets, the compute infrastructure that powers the enterprise now is typically inefficient, slow and not optimized for business outcomes. It is better suited to the economic realities of 2010 rather than the rigors of the application workloads, delivery models & business expectations of today driven by cloud, mobility, security and big data megatrends. As a result, there is a significant gap between what businesses expect from technology and what IT can deliver.
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     HPE
By: JBoss Developer     Published Date: Oct 21, 2016
Java applications have been a central technology for enterprises for two decades. This wealth of data, functionality, and knowledge are critical to enterprises. With Java-based applications, modern development can build on a platform that enables cloud-native architectures while simultaneously supporting existing applications. This combination of traditional enterprise-wide monoliths and cloud-based application deployment allows organizations to take advantage of existing knowledge and resources while actively moving toward newer application models.
Tags : middleware, java, big data, analytics, mobile development
     JBoss Developer
By: Mitutoyo     Published Date: Aug 24, 2018
Today’s factory intelligence is the collaborative orchestration of people and machines. By blending intelligence from multiple sources, factories are truly becoming smarter. But it’s not just about the machines. Rather, people are improving machines through a true partnership that turns human experience into smarter machines. This shift marks a re?orientation to a thought process that’s more natural to people. After decades of working with 2D blueprints, designs and dimensioned drawings, factory intelligence leverages 3D models that are easier for people to comprehend and use. Plus, many people find more satisfaction in intelligent factory work that challenges them to manage relationships among machines, rather than repeatedly working on a single piece in a line. In smarter factories, people direct machines to adjust for shifting customer requirements and market demands.
Tags : factory intelligence, 3d models, market demands, model-based enterprise, supply chain, precision metrology, cmm
     Mitutoyo
By: Oracle     Published Date: Jan 28, 2019
For more than a decade, Oracle has developed and enhanced its ZFS Storage Appliance, giving its users a formidable unified and enterprise-grade storage offering. The latest release, ZS7-2, boasts upgraded hardware and software and is a timely reminder that more users might do well to evaluate this offering. It has a trifecta of advantages: (1) It’s notable performance, price-performance, and flexibility are all improved in this new release (2) There is a surprisingly inclusive set of functionalities, including excellent storage analytics that were developed even before analytics became a contemporary “must-have” (3) There’s a compelling group of “better together” elements that make ZFS Storage Appliance a particularly attractive choice for both Oracle Database environments and users that want to seamlessly integrate a cloud component into their IT infrastructure. Given the proven abilities of Oracle’s prior models, it’s also safe to assume that the new ZS7-2 will outperform other m
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     Oracle
By: Oracle     Published Date: Jul 31, 2017
"The significance of technology in higher education has changed dramatically over the past decade. The rise of mobile, social and analytic technologies is forcing institutions to rethink their business models from the ground up. Institutions at all ends of the spectrum clearly need to embrace fundamental changes in their most basic business processes and platforms. A critical factor in the planning for those changes includes finding the right partner to assist with a major platform shift to the cloud."
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     Oracle
By: SAS     Published Date: Oct 18, 2017
Quality 4.0 isn't really a story about technology. It's about how that technology improves culture, collaboration, competency and leadership. The last decade has seen rapid advances in connectivity, mo­bility, analytics, scalability and data, creating what some call the fourth industrial revolution, or Industry 4.0. With the help of the Industrial Internet of Things (IIoT), manufacturers have digitized operations, transforming efficiency, supply-chain performance and in­novation. This revolution has even created entirely new business models. This e-book gives manufacturers the tools to lead the Qual­ity 4.0 transformation – a transformation that raises traditional manufacturing to the next level. It teaches readers to use advanced technology, analytics and IIoT to strengthen the manufacturing process and bring it forward into a powerful digital age.
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     SAS
By: SAS     Published Date: Mar 06, 2018
The most recent decade has seen rapid advances in connectivity, mobility, analytics, scalability, and data, spawning what has been called the fourth industrial revolution, or Industry 4.0. This fourth industrial revolution has digitalized operations and resulted in transformations in manufacturing efficiency, supply chain performance, product innovation, and in some cases enabled entirely new business models. This transformation should be top of mind for quality leaders, as quality improvement and monitoring are among the top use cases for Industry 4.0. Quality 4.0 is closely aligning quality management with Industry 4.0 to enable enterprise efficiencies, performance, innovation and business models. However, much of the market isn’t focusing on Quality 4.0, since many quality teams are still trying to solve yesterday’s problems: inefficiency caused by fragmented systems, manual metrics calculations, quality teams independently performing quality work with minimal cross-functional own
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     SAS
By: ITI     Published Date: Aug 21, 2009
Today 3D CAD models are driving the world's product development processes. Finite Element Analysis, Rapid Prototyping, NC programming, Data Exchange, and other downstream applications rely to a growing extent on the direct use of CAD models to streamline processes saving time and money.
Tags : supply chain, scm, supply chain management, computer aided design, cad models, cad model, product development, product testing
     ITI
By: SAS     Published Date: Aug 04, 2016
Banks have been using credit scoring models for over five decades, so managing the life cycle of models is nothing new. Most have had some kind of process in place to ensure the models they develop are robust, validated and monitored from a performance perspective and that decision makers have confidence in them. In recent times, however - partly in response to the credit crisis in 2008 - the discipline of model risk management (MRM) has become more formalized and rigorous, driving the need for enterprise-level model information management systems. The regulatory scrutiny being applied to them is intensifying and spreading globally, with US and European regulators leading the charge. For example, whereas regulators were previously more interested in the numbers they were provided, now more regulators want to have a core understanding of the models banks used to generate these numbers.
Tags : best practices, risk management, finance, security, info systems
     SAS
By: IBM     Published Date: Aug 06, 2014
How customer-centric transformation can lead to deeper relationships, increased revenue and streamlined operations. Though the global economy is still sluggishly shaking off the effects of the near meltdown in 2008 and the ongoing sovereign debt crisis, banks in both the emerging and developed economies have as opportunity to manage enormous capital growth and wealth creation. But to regain customer confidence and earn their slice of the increasingly competitive market, banks must transform themselves. They must jettison decades-old, product-oriented operating models and become fully client-centric.
Tags : ibm, banking, customer centric, revenue, customer confidence, competitive market
     IBM
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